IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1578-d214165.html
   My bibliography  Save this article

Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation–Confirmation Model Analysis

Author

Listed:
  • Seon Hee Kim

    (Department of Culinary and Foodservice Management, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea)

  • Joon Ho Bae

    (Department of Tourism Management, Halla University, 28, Halladae-gil, Heungeop-myeon, Wonju-si, Gangwon-do 26404, Korea)

  • Hyeon Mo Jeon

    (Department of Hotel and Tourism Management, Dongguk University-Gyeongju, 123, Dongdae-ro, Gyeongju-si, Gyeongsangbuk-do 38066, Korea)

Abstract

This study aims to analyze the antecedent factors affecting continuous intention to use online to offline (O2O) accommodation app services and empirically verify them by applying an integrated model comprised of the value-based adoption model (VAM) and the expectation-confirmation model (ECM). For empirical analysis, a sample of 410 participants with experience reserving rooms using an accommodation app was used. The results showed that privacy risk had the biggest influence on perceived value, followed by technicality and usefulness. Moreover, confirmation and usefulness turned out to have a significant effect on satisfaction, and enjoyment had a negative effect on perceived value and satisfaction. As a result, the influence of perceived risk, technicality, usefulness, and confirmation on perceived value and satisfaction proved to be important in inducing continuous intention to use accommodation apps. These results are academically significant because they expand the scope of O2O business research in the fields of hotels and tourism. We outline several practical implications based on the study results.

Suggested Citation

  • Seon Hee Kim & Joon Ho Bae & Hyeon Mo Jeon, 2019. "Continuous Intention on Accommodation Apps: Integrated Value-Based Adoption and Expectation–Confirmation Model Analysis," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1578-:d:214165
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1578/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/6/1578/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seo Yeon Kim & Jong Uk Kim & Sang Cheol Park, 2017. "The Effects of Perceived Value, Website Trust and Hotel Trust on Online Hotel Booking Intention," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Lyu, Seong Ok & Hwang, Jinsoo, 2015. "Are the days of tourist information centers gone? Effects of the ubiquitous information environment," Tourism Management, Elsevier, vol. 48(C), pages 54-63.
    3. Andersson, Per & Heinonen, Kristina, 2002. "Acceptance of mobile services - insights from the Swedish market for mobile telephony," SSE/EFI Working Paper Series in Business Administration 2002:16, Stockholm School of Economics.
    4. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    5. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    6. San Martín, Héctor & Herrero, Ángel, 2012. "Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework," Tourism Management, Elsevier, vol. 33(2), pages 341-350.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. Chris Gibbs & Ulrike Gretzel & Jesse Saltzman, 2016. "An experience-based taxonomy of branded hotel mobile application features," Information Technology & Tourism, Springer, vol. 16(2), pages 175-199, June.
    9. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jinmin Kim & AhRam Cho & Jaeyoung Kim, 2022. "Effect of the Standardization of Service Platforms for High-Involvement PropTech Services," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    2. San-Martín, Sonia & Jiménez, Nadia & Liébana-Cabanillas, Francisco, 2020. "Tourism value VS barriers to booking trips online," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    3. Suk Won Lee & Hye Jin Sung & Hyeon Mo Jeon, 2019. "Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Hye Jin Sung & Hyeon Mo Jeon, 2020. "Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    5. Lin Li & Kyung Young Lee & Emmanuel Emokpae & Sung-Byung Yang, 2021. "What makes you continuously use chatbot services? Evidence from chinese online travel agencies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 575-599, September.
    6. Pinyi Yao & Mohamad Fazli Sabri & Syuhaily Osman & Norzalina Zainudin & Yezheng Li, 2023. "Consumers’ Continued Intention to Use Online-to-Offline (O2O) Services in Omnichannel Retail: Differences between To-Shop and To-Home Models," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    7. Francis Osei & Gertrude Agyemang & Collins Kankam-Kwarteng & Ofosu Amofah, 2021. "Customer use of online order for food delivery service: the application of UTAUT2 Model," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 496-514, November.
    8. Marvello Yang & Jingzu Gao & Qing Yang & Abdullah Al Mamun & Mohammad Masukujjaman & Mohammad Enamul Hoque, 2024. "Modeling the intention to consume and willingness to pay premium price for 3D-printed food in an emerging economy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    9. Ha-Won Jang & Soo-Bum Lee, 2020. "Serving Robots: Management and Applications for Restaurant Business Sustainability," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    10. Ng Hui Chen, 2024. "Intention to Use FinTech Payments: The Perspectives of Benefits, Risks, and Openness to Change," GATR Journals gjbssr651, Global Academy of Training and Research (GATR) Enterprise.
    11. Jinmin Kim & Jaeyoung Kim, 2021. "An Integrated Analysis of Value-Based Adoption Model and Information Systems Success Model for PropTech Service Platform," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    12. Sangjae Lee & Byung Gon Kim, 2020. "The Impact of Individual Motivations and Social Capital on the Continuous Usage Intention of Mobile Social Apps," Sustainability, MDPI, vol. 12(20), pages 1-30, October.
    13. Xiu-Fu Tian & Run-Ze Wu, 2022. "Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT," IJERPH, MDPI, vol. 19(16), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eunhye Kim, 2021. "In-store shopping with location-based retail apps: perceived value, consumer response, and the moderating effect of flow," Information Technology and Management, Springer, vol. 22(2), pages 83-97, June.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    4. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    5. Wong Lai Soon & Bobby Chai Boon Hui & Wong Kee Luen, 2013. "Joining the New Band: Factors Triggering the Intentions of Malaysian College and University Students to Adopt 4G Broadband," Information Management and Business Review, AMH International, vol. 5(2), pages 58-65.
    6. Mălăescu, Irina & Sutton, Steve G., 2015. "The effects of decision aid structural restrictiveness on cognitive load, perceived usefulness, and reuse intentions," International Journal of Accounting Information Systems, Elsevier, vol. 17(C), pages 16-36.
    7. Hai, Le Chi & Alam Kazmi, Syed Hasnain, 2015. "Dynamic Support of Government in Online Shopping," MPRA Paper 66027, University Library of Munich, Germany, revised 16 Jul 2015.
    8. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    9. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    10. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    11. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    12. Kim, Nooree & Park, Yuri & Lee, Daeho, 2019. "Differences in consumer intention to use on-demand automobile-related services in accordance with the degree of face-to-face interactions," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 277-286.
    13. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    14. Nan Zhang & Xunhua Guo & Guoqing Chen, 2011. "Why adoption and use behavior of IT/IS cannot last?—two studies in China," Information Systems Frontiers, Springer, vol. 13(3), pages 381-395, July.
    15. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    16. Young Mee Shin & Seung Chang Lee & Bongsik Shin & Ho Geun Lee, 2010. "Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes," Information Systems Frontiers, Springer, vol. 12(5), pages 595-606, November.
    17. Margulis, Anna & Boeck, Harold & Laroche, Michel, 2020. "Connecting with consumers using ubiquitous technology: A new model to forecast consumer reaction," Journal of Business Research, Elsevier, vol. 121(C), pages 448-460.
    18. Kim, Hyo-Jeong & Mannino, Michael & Nieschwietz, Robert J., 2009. "Information technology acceptance in the internal audit profession: Impact of technology features and complexity," International Journal of Accounting Information Systems, Elsevier, vol. 10(4), pages 214-228.
    19. Venkatesh, Viswanath & Speier, Cheri, 1999. "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 1-28, July.
    20. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1578-:d:214165. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.